Summary
One of the biggest concerns researchers have when having any designer or product manager conduct their own research is that they'll ask biased or bad questions. In theory bad research done by a product team should be accountable to them but since there's a team named "research," that can inevitably fallback on us. We've all offered training to teams at some point but you can lead a horse to water but not force them to drink. Enter AI - your partners will want to use it because it helps them get something they don't usually do (write discussion guides) faster and by writing custom Gems or GPTs, the research team can keep consistency, ensure the AI pushes back in the right way for quality, etc. In this session, I'll cover how to build these and the instruction sets I provide to the tools.
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